Chris Hayward: The courage to start a business

Chris was already exploring generative AI and saw it as the next step in his work. But he had gaps in his understanding, and he wanted to be sure he wasn’t making rookie errors. He came to Superesque to formalise what he had learnt, and build a systematic framework for it.

Chris built agents for his design research:

• Literature review agent synthesises research across complex domains.
• Interview agent explores how ready an organisation is for AI, using social science frameworks.
• Qualitative analysis agent finds the signal in the data without cherry-picking insights.

Building them meant decoding his own practice with Supernaut, the course’s AI prompt engineer, and Supernaut-Evals, which tests an agent against his own standard. “You need to unpack all those things you’ve normalised in your work over many years and make them explicit,” he says.